(FPCore (m v) :precision binary64 (* (- (/ (* m (- 1.0 m)) v) 1.0) m))
(FPCore (m v) :precision binary64 (* m (+ (* (/ m v) (- 1.0 m)) -1.0)))
double code(double m, double v) {
return (((m * (1.0 - m)) / v) - 1.0) * m;
}
double code(double m, double v) {
return m * (((m / v) * (1.0 - m)) + -1.0);
}
real(8) function code(m, v)
real(8), intent (in) :: m
real(8), intent (in) :: v
code = (((m * (1.0d0 - m)) / v) - 1.0d0) * m
end function
real(8) function code(m, v)
real(8), intent (in) :: m
real(8), intent (in) :: v
code = m * (((m / v) * (1.0d0 - m)) + (-1.0d0))
end function
public static double code(double m, double v) {
return (((m * (1.0 - m)) / v) - 1.0) * m;
}
public static double code(double m, double v) {
return m * (((m / v) * (1.0 - m)) + -1.0);
}
def code(m, v): return (((m * (1.0 - m)) / v) - 1.0) * m
def code(m, v): return m * (((m / v) * (1.0 - m)) + -1.0)
function code(m, v) return Float64(Float64(Float64(Float64(m * Float64(1.0 - m)) / v) - 1.0) * m) end
function code(m, v) return Float64(m * Float64(Float64(Float64(m / v) * Float64(1.0 - m)) + -1.0)) end
function tmp = code(m, v) tmp = (((m * (1.0 - m)) / v) - 1.0) * m; end
function tmp = code(m, v) tmp = m * (((m / v) * (1.0 - m)) + -1.0); end
code[m_, v_] := N[(N[(N[(N[(m * N[(1.0 - m), $MachinePrecision]), $MachinePrecision] / v), $MachinePrecision] - 1.0), $MachinePrecision] * m), $MachinePrecision]
code[m_, v_] := N[(m * N[(N[(N[(m / v), $MachinePrecision] * N[(1.0 - m), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]
\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot m
m \cdot \left(\frac{m}{v} \cdot \left(1 - m\right) + -1\right)
Results
Initial program 0.2
Simplified0.2
Final simplification0.2
herbie shell --seed 2022334
(FPCore (m v)
:name "a parameter of renormalized beta distribution"
:precision binary64
:pre (and (and (< 0.0 m) (< 0.0 v)) (< v 0.25))
(* (- (/ (* m (- 1.0 m)) v) 1.0) m))